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Swayam Central

Reinforcement Learning

By Prof. Balaraman Ravindran   |   IIT Madras
Reinforcement learning is a paradigm that aims to model the trial-and-error learning process that is needed in many problem situations where explicit instructive signals are not available. It has roots in operations research, behavioral psychology and AI. The goal of the course is to introduce the basic mathematical foundations of reinforcement learning, as well as highlight some of the recent directions of research.

INTENDED AUDIENCE :  Any interested learner
INDUSTRY SUPPORT  : Data analytics/data science/robotics

Learners enrolled: 632

SUMMARY

Course Status : Upcoming
Course Type : Elective
Duration : 12 weeks
Start Date : 27 Jan 2020
End Date : 17 Apr 2020
Exam Date : 25 Apr 2020
Enrollment Ends : 03 Feb 2020
Category :
  • Computer Science and Engineering
  • Level : Undergraduate/Postgraduate
    This is an AICTE approved FDP course

    COURSE LAYOUT

    Week 1   :   Introduction
    Week 2   :  Bandit algorithms – UCB, PAC
    Week 3   :   Bandit algorithms –Median Elimination, Policy Gradient
    Week 4   :   Full RL & MDPs
    Week 5   :   Bellman Optimality
    Week 6   :   Dynamic Programming & TD Methods
    Week 7   :   Eligibility Traces
    Week 8   :   Function Approximation
    Week 9   :   Least Squares Methods
    Week 10 :   Fitted Q, DQN & Policy Gradient for Full RL
    Week 11 :   Hierarchical RL
    Week 12 :   POMDPs

    BOOKS AND REFERENCES

    R. S. Sutton and A. G. Barto. Reinforcement Learning - An Introduction. MIT Press. 1998.

    INSTRUCTOR BIO

    Prof. Balaraman Ravindran

    IIT Madras
    Prof. Balaraman Ravindran is currently an Professor in Computer Science at IIT Madras and Mindtree Faculty Fellow . He has nearly two decades of research experience in machine learning and specifically reinforcement learning. Currently his research interests are centered on learning from and through interactions and span the areas of data mining, social network analysis, and reinforcement learning.

    COURSE CERTIFICATE

    • The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
    • The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
    • Date and Time of Exams: 25th April 2020, Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
    • Registration url: Announcements will be made when the registration form is open for registrations.
    • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
    • Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

    CRITERIA TO GET A CERTIFICATE:
    • Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments
     given in the course. 
    • Exam score = 75% of the proctored certification exam score out of 100
    • Final score = Average assignment score + Exam score

    YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. 
    • If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
    • Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Madras. It will be e-verifiable at nptel.ac.in/noc.
    • Only the e-certificate will be made available. Hard copies will not be dispatched.

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